How to use MongoDB Atlas?

Posted 5 years ago by Ryan Dhungel

Category: Mongo DB Web Development Node

Viewed 20672 times

Estimated read time: 5 minutes

Signup with MongoDB Atlas to use MongoDB


Recently mLab has been closed for new signups. But that's not a problem, you can use MongoDB Atlas instead.

This article will guide you on how to get started with MongoDB Atlas.


Visit MongoDB Atlas



Click on Start Free



Complete the form with your email, name, password, accept terms of services and hit the button that says Get started free



Then you will be taken to a new page. There you will see a button that says Build my first cluster



Towards the end of the page, you will see Cluster Name row. Click on that to enter the name for your new cluster/database.



Give a name for your cluster and hit the button that says Create Cluster



Then you will see the following page



Towards the left sidebar, you will see the name of your Cluster along with few options such as CONNECT, METRICS, COLLECTIONS.

White List IP in Mongo Atlas

First click on the left sidebar Network Access under Security

Then you will see the following window popup. Here enter as whitelist entry. This will allow use to use our mongo atlas cluster from any IP address. Once done, click Confirm.



Create Database User with Name and Password

You need to create database user to be able to use this service. This is not your login user and password but a different one. It will be used to allow access to the particular mongo cluster that you have just created.

Click on Database Access under Security in the left sidebar and on the following popup window, enter user name and password.



This username and password is required later so you need to remember.


Get Connection URI String


Now its time to finally get the connection URI string that will allow our app to use mongo atlas as a database service in the cloud.

Click on Clusters on the left sidebar under Atlas on top. You will see a popup window. Click on the option that say Connect your application



Pick the second option, Connect Your Application

Get a connection string and view driver connection examples



Then you will see the following window



Click to copy the Connection String.


You will need to replace the part with the actual password you used earlier to create a MongoDB User

Go to your project and create a file with the name .env in the root of the project (this step is explained in the previous lecture). nodeapi/.env and add the connection string that you just copied and paste to MONGO_URI

Update with your actual password. In the following example, you can see my password kkkkkk9


As you can see, MongoDB Atlas gives us default test collection inside our cluster nodeAPI.

You can change that to be something else (for example nodeapi) like so:

MONGO_URI=mongodb+srv://kaloraat_admin:[email protected]/nodeapi?retryWrites=truenodeAPI?retryWrites=true


Then connect your app with database with the following code in app.js


These steps are explained in the previous lecture:

Install dotenv package by running the following code
npm i dotenv



// import mongoose
const mongoose = require("mongoose");
// import dotenv
const dotenv = require("dotenv");

// database connection
    .connect(process.env.MONGO_URI, { useNewUrlParser: true })
    .then(() => console.log("DB Connected"));

mongoose.connection.on("error", err => {
    console.log(`DB connection error: ${err.message}`);

That's all. Now you can use this connection string to use mongodb in the cloud (mongoDB Atlas)


You can also visually see the data in MongoDB Atlas


Right below NodeAPI (your cluster name). You have the following buttons. Click on COLLECTIONS



That will open up the following window: Click on the Collections tab on the top



You will see the list of databases. I tried creating few users and posts using this database using both test and nodeapi. As a result I have two databases. nodeAPI and test. 

You may browse through your collection and update data manually.



Thats all. Now you can start using MongoDB Atlas.


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